Globus Maritime (GLBS) Prepaid Assets (2009 - 2026)
Globus Maritime's Prepaid Assets came in at $5.78 million for the quarter ended Jun 30, 2026, compared with $181,000 a year earlier and up 110.8% from the prior quarter.
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Analysis
Globus Maritime (GLBS) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Globus Maritime's Prepaid Assets was $1.28 million, down 45.9% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 4.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $2.37 million in the year ended Dec 31, 2024 (+32.6%), $1.79 million in the year ended Dec 31, 2023 (-38.0%), $2.89 million in the year ended Dec 31, 2022 (+135.9%) and $1.22 million in the year ended Dec 31, 2021 (+19.2%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Prepaid Assets in data going back to the quarter ended Dec 31, 2009.
- Year-over-year, Prepaid Assets increased in three of the last seven quarters, with an average decline of 11.7%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Sep 30, 2022 (growth of 326.9%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 94.6%).
- Business Quant data shows GLBS's Prepaid Assets at $2.74 million (quarter ended Mar 31, 2026), $1.28 million (quarter ended Dec 31, 2025) and $2.96 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Globus Maritime | 71.87 Mn | -37.05 Mn | 14.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.78 Mn |
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 1.28 Mn |
| Sep 30, 2025 | 2.96 Mn |
| Jun 30, 2025 | 181,000.00 |
| Mar 31, 2025 | 2.59 Mn |
| Dec 31, 2024 | 2.37 Mn |
| Sep 30, 2024 | 3.21 Mn |
| Jun 30, 2024 | 3.37 Mn |
| Mar 31, 2024 | 2.87 Mn |
| Dec 31, 2023 | 1.79 Mn |
| Sep 30, 2023 | 2.34 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 3.27 Mn |
| Dec 31, 2022 | 2.89 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 2.47 Mn |
| Mar 31, 2022 | 2.17 Mn |
| Dec 31, 2021 | 1.22 Mn |
| Sep 30, 2021 | 379,000.00 |
API Access
Globus Maritime Prepaid Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=prepaid-assets&ticker=GLBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "GLBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=GLBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();